Titlebook: Cyber Security Impact on Digitalization and Business Intelligence; Big Cyber Security f Haitham M. Alzoubi ,Muhammad Turki Alshurideh,Tahe

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https://doi.org/10.1007/978-3-8350-9131-3tment and reduce healthcare costs. Artificial Intelligence (AI) techniques like NLP, speech recognition, and machine vision can be used to predict and diagnose diseases. However, traditional AI methods can be error-prone. Explainable AI (EAI) techniques can reduce detection errors and improve predic

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https://doi.org/10.1007/978-3-8350-9131-3 speeds that are slower, sometimes significantly slower, than normal or “free flow” norms. Congestion-free traffic has been the main goal for a decade, and many methodologies have been embraced to make blockage-free streets. Sadly, street traffic is constrained by antiquated traffic lights (tri-vari

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https://doi.org/10.1007/978-3-8350-9131-3ramatically cut the expense of hiring employees. Additionally, by eliminating human-related issues, an automated system increases the accuracy of data that is collected. An autonomous system that can do tasks without human effort and saves production costs is therefore crucial. The machine learning

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Modeling Object-Oriented Languagesompetitive benefit in an ever-evolving market context. Eliminating human participation and validating the participant‘s information are vital in the recruitment process in order to locate a competent employee for a corporation. Additionally, it is critical for the human resource management (HRM) pro

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2197-6503 ber Security & Privacy for supply chain 4.0.Presents recent .This book takes a unique approach by exploring the connection between cybersecurity, digitalization, and business intelligence. In today‘s digital landscape, cybersecurity is a crucial aspect of business operations. Meanwhile, organization